Datong Chen

3.1k citations
88 papers · 2.3k · h-index 24

Impact in

Papers in

Datong Chen

83 papers receiving 2.1k citations

Peers

Datong Chen
Comparison fields: 5 of 122
  • Computer Vision and Pattern Recognition 721
  • Renewable Energy, Sustainability and the Environment 517
  • Catalysis 185
  • Electronic, Optical and Magnetic Materials 373
  • Media Technology 139
Replace Ziyuan Yang with:
Ziyuan Yang China
Dazhi Zhang China
Hyun Joon Shin South Korea
Y. Nemoto Japan
Xiaolin Liu China
Yanan Bao China
Jia Jia China
Ben Fei China
Xian Zhou United States
Tobias Fischer Australia
Datong Chen relative to Ziyuan Yang China Ziyuan Yang's profile →
Citations per field
00.5×4.1×
Ziyuan Yang · 1×
Citations per year

Countries citing papers authored by Datong Chen

Since Specialization
Citations

This map shows the geographic impact of Datong Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Datong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Datong Chen more than expected).

Fields of papers citing papers by Datong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Datong Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Datong Chen. The network helps show where Datong Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Datong Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Datong Chen Line = papers co-authored together Datong Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997351
2 2021204
3 2003197
4 2023124
5 2021123
6 201889
7 199983
8 200568
9 202365
10 200752
11 200245
12 199544
13 199443
14 200739
15 200338
16 202437
17 200437
18 200435
19 200833
20 200731

About Datong Chen

Datong Chen is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 88 papers that have together received 2.3k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (16 papers), Handwritten Text Recognition Techniques (15 papers), Photonic and Optical Devices (14 papers), Advanced Image and Video Retrieval Techniques (13 papers), CO2 Reduction Techniques and Catalysts (12 papers), Video Surveillance and Tracking Methods (12 papers), Human Pose and Action Recognition (8 papers) and Advanced Photocatalysis Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (721 citations), Renewable Energy, Sustainability and the Environment (517 citations), Catalysis (185 citations), Electronic, Optical and Magnetic Materials (373 citations) and Media Technology (139 citations). Datong Chen has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Jean‐Marc Odobez, William H. Steier, Harold R. Fetterman, Larry R. Dalton, Wenshen Wang, Yongqiang Shi, Hervé Bourlard, Antao Chen, Fengshou Yu and Lu‐Hua Zhang. Their work appears in journals such as Angewandte Chemie International Edition, Applied Physics Letters, IEEE Photonics Technology Letters, Pattern Recognition and Journal of Cellular Biochemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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